Volkswagen AG
PhD Student AI Methods Powertrain(m/w/x)
Full-timeOn-siteNot specified
Wolfsburg
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VOVolkswagen AG
PhD Student AI Application Energy Management(m/w/x)
Wolfsburg
Full-timeOn-site
Green Job
Data Science
Nejo AI Summary
Developing AI-supported forecasting models for electricity prices and intelligent storage systems. Solid knowledge in machine learning and deep learning required. 35-hour week, 60% remote work option.
Requirements
- University degree qualifying for doctoral studies in computer science, engineering, mathematics, or comparable qualification
- Solid knowledge in data analysis, statistics, and AI methods, especially machine learning and deep learning
- Understanding of energy market structures and dynamics is desirable
- Strong initiative, team orientation, and structured working style
- English language level B2
- German language level C1
Tasks
- Develop AI-supported forecasting models for electricity prices, consumption, and generation
- Plan intelligent storage and power-to-X systems
- Simulate energy market scenarios
- Evaluate flexibility options in e-mobility
- Analyze the value of AI applications in the energy sector
- Design and test innovative AI approaches for complex energy problems
- Identify new AI application fields from electricity price forecasting to e-mobility flexibility
- Create a strategic concept for AI use in energy processes
- Lead practical digitalization and AI projects
- Support project integration into operational workflows
- Collaborate with a professor to define the doctoral topic
- Ensure supervision and topic confirmation from a qualified professor
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- data analysis
- statistics
- AI methods
- machine learning
- deep learning
Benefits
Flexible Working
- Flexible working hours
- Remote work up to 60%
More Vacation Days
- 30 vacation days
- 24.12. and 31.12. off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
- Interdisciplinary qualification seminars
- Scientific exchange with other doctoral candidates within the Volkswagen Group
Career Advancement
- Doctoral network participation
Other Benefits
- Scientific exchange with science representatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Volkswagen AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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VOVolkswagen AG
PhD Student AI Application Energy Management(m/w/x)
Wolfsburg
Full-timeOn-site
Green Job
Data Science
Nejo AI Summary
Developing AI-supported forecasting models for electricity prices and intelligent storage systems. Solid knowledge in machine learning and deep learning required. 35-hour week, 60% remote work option.
Requirements
- University degree qualifying for doctoral studies in computer science, engineering, mathematics, or comparable qualification
- Solid knowledge in data analysis, statistics, and AI methods, especially machine learning and deep learning
- Understanding of energy market structures and dynamics is desirable
- Strong initiative, team orientation, and structured working style
- English language level B2
- German language level C1
Tasks
- Develop AI-supported forecasting models for electricity prices, consumption, and generation
- Plan intelligent storage and power-to-X systems
- Simulate energy market scenarios
- Evaluate flexibility options in e-mobility
- Analyze the value of AI applications in the energy sector
- Design and test innovative AI approaches for complex energy problems
- Identify new AI application fields from electricity price forecasting to e-mobility flexibility
- Create a strategic concept for AI use in energy processes
- Lead practical digitalization and AI projects
- Support project integration into operational workflows
- Collaborate with a professor to define the doctoral topic
- Ensure supervision and topic confirmation from a qualified professor
Education
- Doctoral / PhD
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- data analysis
- statistics
- AI methods
- machine learning
- deep learning
Benefits
Flexible Working
- Flexible working hours
- Remote work up to 60%
More Vacation Days
- 30 vacation days
- 24.12. and 31.12. off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
- Interdisciplinary qualification seminars
- Scientific exchange with other doctoral candidates within the Volkswagen Group
Career Advancement
- Doctoral network participation
Other Benefits
- Scientific exchange with science representatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Volkswagen AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Volkswagen AG
Industry
EnergyAutomation
Description
CARIAD ist das Automotive-Software-Unternehmen der Volkswagen Group, das Softwareplattformen und digitale Kundenfunktionen entwickelt.
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